Evidence map›Paper›PMID 38843117›Full record

ArticlePreventing chronic disease2024

An Innovative Approach to Using Electronic Health Records Through Health Information Exchange to Build a Chronic Disease Registry in Michigan.

Olivia Barth, Beth Anderson, Kayla Jones, Adrienne Nickles, Kristina Dawkins, Akia Burnett, Krystal Quartermus

Abstract read
In one paragraph

Article in Preventing chronic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Olivia BarthMichigan Department of Health and Human Services, 333 South Grand Ave, Lansing, MI 48933 (BarthO@michigan.gov).
Beth AndersonMichigan Department of Health and Human Services, Lansing, Michigan.
Kayla JonesMichigan Department of Health and Human Services, Lansing, Michigan.
Adrienne NicklesMichigan Department of Health and Human Services, Lansing, Michigan.
Kristina DawkinsMichigan Department of Health and Human Services, Lansing, Michigan.
Akia BurnettMichigan Department of Health and Human Services, Lansing, Michigan.
Krystal QuartermusMichigan Department of Health and Human Services, Lansing, Michigan.

Funding

RFA-DP-21-001 Maine Pregnancy Risk Assessment Monitoring System - Component A: Core SurveillanceU01DP006614 · DP · MAINE STATE DEPT/HEALTH/HUMAN SERVS · PI HAGGAN, KIM · 2020 to 2025
$1.0M
NCCDPHP CDC HHS U01 DP006614
6 · The paper itself

Abstract

Michigan's CHRONICLE, the Chronic Disease Registry Linking Electronic Health Record Data, is a near-real-time disease monitoring system designed to harness electronic health record (EHR) data and existing health information exchange (HIE) infrastructure for transformative public health surveillance. Strong evidence indicates that using EHR data in chronic disease monitoring will provide rapid insight over time on health care use, outcomes, and public health interventions. We examined the potential of EHR data for chronic disease surveillance through close collaboration with our statewide HIE network and 2 participating health systems. We describe the development of CHRONICLE, the promising findings from its implementation, the identified challenges, and how those challenges will inform the next steps in testing, refining, and expanding the system. By detailing our approach to developing CHRONICLE and the considerations and early steps required to build an innovative, EHR-based chronic disease registry, we aim to inform public health leaders and professionals on the value of EHR data for chronic disease surveillance. With systematic testing, evaluation, and enhancement, our goal for CHRONICLE, as a fully realized and comprehensive surveillance system, is to model how collaborative health information exchange can support evidence-based strategies, resource allocation, and precision in disease monitoring.

Indexed as

Electronic Health RecordsHealth Information ExchangeRegistriesChronic DiseaseHumansMichiganPopulation Surveillance

Identifiers

PMID38843117
PMCPMC11192498

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.